Spectral characterization of COTS RGB cameras using a linear variable edge filter

نویسندگان

  • Daniel L. Bongiorno
  • Mitch Bryson
  • Donald G. Dansereau
  • Stefan B. Williams
چکیده

The spectral response function of a camera maps the relative sensitivity of the camera imaging system as a function of the wavelength of the light. The spectral response function of the colour channels of a commercial-off-theshelf (COTS) Red/Green/Blue (RGB) camera is often unknown and not typically provided by the manufacturer of the camera. Knowledge of this response can be useful for a wide variety of applications such as simulating animal vision, colour correction and colour space transformations of the images captured by the camera. COTS cameras are widely used due to their low cost and ease of implementation. We investigate a method of using a Linear Variable Edge Filter (LVEF) and a low-cost spectrometer to characterise an RGB camera. This method has the advantage over previous methods in the simplicity and small number of measurements needed for spectral characterisation. Results are presented for three cameras: a consumer-level digital SLR and two point-and-shoot consumer grade cameras, one of them being an underwater camera.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Characterization of a digital camera as an absolute tristimulus colorimeter

An algorithm is proposed for the spectral and colorimetric characterization of digital still cameras (DSC) which allows them to be used as tele-colorimeters with CIE–XYZ color output, in cd/m2. The spectral characterization consists in the calculation of the color-matching functions from the previously measured spectral sensitivities. The colorimetric characterization consists in transforming t...

متن کامل

Detecting buried channels using linear least square RGB color stacking method based on deconvolutive short time Fourier transform

Buried channels are one of the stratigraphic hydrocarbon traps. They are often filled with a variety of porous and permeable sediments so they are important in the exploration of oil and gas reservoirs. In reflection seismic data, high-frequency components are sensitive to the channel thickness, whereas, low-frequency components are sensitive to the channel infill materials. Therefore, decompos...

متن کامل

Tracking of Multiple objects Using 3D Scatter Plot Reconstructed by Linear Stereo Vision

This paper presents a new method for tracking objects using stereo vision with linear cameras. Edge points extracted from the stereo linear images are first matched to reconstruct points that represent the objects in the scene. To detect the objects, a clustering process based on a spectral analysis is then applied to the reconstructed points. The obtained clusters are finally tracked throughou...

متن کامل

Methods for spectral characterization of multispectral cameras

High fidelity color image acquisition requires an accurate characterization of the camera’s spectral sensitivity curves to perform color calibration or spectral estimation. Several methods have been proposed to perform this task; these include characterizations via test charts, narrowband filters and methods utilizing a monochromator. In most publications, RGB cameras are characterized. In this...

متن کامل

An Effective Image Demosaicking Algorithm with Correlations among RGB Channels

In this paper, an effective image demosaicking algorithm, which is based on the correlation among the three primary colors, is proposed for mosaic image with Bayer color filter array (CFA). To reduce the distortion and improve the reconstruction quality, the proposed interpolation method makes full use of the brightness information and the edge information. We design several filters with size o...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013